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Dataset Title:  XRD, XPS, and raman data collected from 2013 to 2017 (INSPIRE Pyrite) Subscribe RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_684649)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 data_type (unitless) ?          "Raman_spectrum1"    "XRD"
 theta2 (degree) ?          20.00173    80.00204
 binding_energy (eV) ?          157.08    740.08
 intensity_type (unitless) ?          "Fe 2p"    "S 2p"
 raman_shift (centimeters) ?          73.7037    999.625
 intensity (arbitrary units) ?          0.17428    23834.8
 
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  data_type {
    String bcodmo_name "datatype";
    String description "Type of data described: XRD XPS or Raman1 and 2; Raman1 is the Raman spectrum of iron pyrite nano-particles; Raman2 is the Raman spectrum of an iron pyrite thin film formed on an iron pyrite substrate using the hot injection method.";
    String long_name "Data Type";
    String units "unitless";
  }
  theta2 {
    Float32 _FillValue NaN;
    Float32 actual_range 20.00173, 80.00204;
    String bcodmo_name "unknown";
    String description "2-Theta angle";
    String long_name "Theta2";
    String units "degree";
  }
  binding_energy {
    Float32 _FillValue NaN;
    Float32 actual_range 157.08, 740.08;
    String bcodmo_name "unknown";
    String description "Binding energy of XPS";
    String long_name "Binding Energy";
    String units "eV";
  }
  intensity_type {
    String bcodmo_name "unknown";
    String description "Intensity measured for either Fe 2p or S 2p";
    String long_name "Intensity Type";
    String units "unitless";
  }
  raman_shift {
    Float32 _FillValue NaN;
    Float32 actual_range 73.7037, 999.625;
    String bcodmo_name "unknown";
    String description "Raman spectrum";
    String long_name "Raman Shift";
    String units "centimeters";
  }
  intensity {
    Float32 _FillValue NaN;
    Float32 actual_range 0.17428, 23834.8;
    String bcodmo_name "unknown";
    String description "Raman spectrum and XRD intensity";
    String long_name "Intensity";
    String units "arbitrary units";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"X-ray diffraction (XRD):\\u00a0
 
An X-ray diffractometer (Bruker, D2 phaser) with a conventional Theta-2theta
diffraction geometry was used to determine the crystalline phase of the
deposit on an iron substrate.\\u00a0
 
X-ray photoelectron spectroscopy (XPS):\\u00a0
 
The elements (Fe and S) present in the thin film deposit and their chemical
bonding states were identified by using XPS (K-Alpha, Thermo Scientific, MA).
The spectra were collected using a 400 um spot size and 20 eV pass energy from
an Al source after Ar plasma sputtering to remove any surface
contamination.\\u00a0
 
Raman spectrum data:
 
The Raman spectrum of the iron pyrite nanoparticles were collected by using a
LabRAM Aramis Raman system (Horiba Jobin Yvon, NJ) with laser excitation at
532 nm.\\u00a0";
    String awards_0_award_nid "623699";
    String awards_0_award_number "OCE-1344241";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1344241";
    String awards_0_funder_name "NSF Division of Ocean Sciences";
    String awards_0_funding_acronym "NSF OCE";
    String awards_0_funding_source_nid "355";
    String awards_0_program_manager "David L. Garrison";
    String awards_0_program_manager_nid "50534";
    String cdm_data_type "Other";
    String comment 
"XRD, XPS, and Raman spectrum data 
  P. Girguis and D. Clarke, PIs 
  Version 13 March 2017";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_type "institution";
    String creator_url "https://www.bco-dmo.org/";
    String data_source "extract_data_as_tsv version 2.3  19 Dec 2019";
    String date_created "2017-03-17T23:17:34Z";
    String date_modified "2019-04-03T20:25:54Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.684649.1";
    String history 
"2024-03-29T12:14:37Z (local files)
2024-03-29T12:14:37Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_684649.html";
    String infoUrl "https://www.bco-dmo.org/dataset/684649";
    String institution "BCO-DMO";
    String instruments_0_acronym "Raman Microscope";
    String instruments_0_dataset_instrument_description "Used to analyze Raman spectrum";
    String instruments_0_dataset_instrument_nid "684669";
    String instruments_0_description "The Raman microscope is a laser-based microscopic device used to perform Raman spectroscopy. The Raman microscope begins with a standard optical microscope, and adds an excitation laser, laser rejection filters, a spectrometer or monochromator, and an optical sensitive detector such as a charge-coupled device (CCD), or photomultiplier tube, (PMT). One example is the XploRA confocal Raman microscope (information from the manufacturer).";
    String instruments_0_instrument_name "Raman Microscope";
    String instruments_0_instrument_nid "537935";
    String instruments_0_supplied_name "LabRAM Aramis Raman system";
    String instruments_1_dataset_instrument_description "Used to measure xray defraction";
    String instruments_1_dataset_instrument_nid "684657";
    String instruments_1_description "An X-ray microscope uses electromagnetic radiation in the soft X-ray band to produce images of very small objects. The resolution of X-ray microscopy lies between that of the optical microscope and the electron microscope.";
    String instruments_1_instrument_name "X-Ray Microscope";
    String instruments_1_instrument_nid "565700";
    String instruments_1_supplied_name "Microscope";
    String keywords "bco, bco-dmo, binding, binding_energy, biological, chemical, data, data_type, dataset, dmo, energy, erddap, intensity, intensity_type, management, oceanography, office, preliminary, raman, raman_shift, shift, theta2, type";
    String license "https://www.bco-dmo.org/dataset/684649/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/684649";
    String param_mapping "{'684649': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/684649/parameters";
    String people_0_affiliation "Harvard University";
    String people_0_person_name "Peter Girguis";
    String people_0_person_nid "544586";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Harvard University";
    String people_1_person_name "David Clarke";
    String people_1_person_nid "623703";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Harvard University";
    String people_2_person_name "Xiaofei Guan";
    String people_2_person_nid "684659";
    String people_2_role "Contact";
    String people_2_role_type "related";
    String people_3_affiliation "Woods Hole Oceanographic Institution";
    String people_3_affiliation_acronym "WHOI BCO-DMO";
    String people_3_person_name "Hannah Ake";
    String people_3_person_nid "650173";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_role_type "related";
    String project "INSPIRE_Pyrite";
    String projects_0_acronym "INSPIRE_Pyrite";
    String projects_0_description 
"This INSPIRE award is partially funded by Biological Oceanography Program in Division of Ocean Sciences, in the Directorate of Geosciences; the Electronic and Photonic Materials Program in the Division of Materials Research, Directorate of Mathematical and Physical Sciences.
A simple idea motivates this project: By characterizing the mechanisms underlying pyrite film deposition by subsurface microbes living at hydrothermal vents, can approaches be developed to controllably grow high-purity pyrite films that could be used to produce low-cost photovoltaic solar cells? Recent in situ studies at hydrothermal vents have found \"subsurface\" microbes associated with the deposition of large crystalline metal sulfides (up to 1.1 millimeters), including iron pyrite. In laboratory incubations, vent microbes specifically deposited pyrite (FeS2), devoid of Zn, Cu and other metals that were abundant in the liquid media. Abiotic incubations did not exhibit this specificity. The investigators hypothesize that, in situ, microbes deposit pyrite via a number of potential processes, including a physiological process called extracellular electron transfer (EET), wherein microbes shuttle electrons to/from minerals. In situ, EET-enabled microbes may use conductive minerals to electrically access oxidants, and deposit pyrite on these surfaces. Vents are thus natural bioelectrochemical cells, which grow metal sulfides via microbial and abiotic electrochemical processes, though the details and mechanisms remain to be determined. This project is aimed at elucidating the mechanisms underlying microbial FeS2 pyrite bio-deposition, and assessing how microbes might be used to deposit epitaxial films for solar cells absorbers. FeS2 pyrite has been identified as prospective low cost solar absorbers because of their abundance, suitable band-gap (~0.95 eV) and high optical absorbance. Microbial pyrite film deposition at lower temperatures (";
    String projects_0_end_date "2017-08";
    String projects_0_name "INSPIRE Track 1: Microbial Sulfur Metabolism and its Potential for Transforming the Growth of Epitaxial Solar Cell Absorbers";
    String projects_0_project_nid "623700";
    String projects_0_start_date "2013-09";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "XRD, XPS, and raman data collected from 2013 to 2017 (INSPIRE Pyrite)";
    String title "XRD, XPS, and raman data collected from 2013 to 2017 (INSPIRE Pyrite)";
    String version "1";
    String xml_source "osprey2erddap.update_xml() v1.3";
  }
}

 

Using tabledap to Request Data and Graphs from Tabular Datasets

tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its selection constraints (external link).

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

Tabledap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
Thus, the query is often a comma-separated list of desired variable names, followed by a collection of constraints (e.g., variable<value), each preceded by '&' (which is interpreted as "AND").

For details, see the tabledap Documentation.


 
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